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Estimation of Extinction Probabilities of Five German Cattle Breeds by Population Viability Analysis

机译:通过种群生存力分析估算五种德国牛品种的灭绝概率

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The estimation of the expected loss of genetic diversity and marginal diversities in a set of breeds within a defined future time horizon requires initial estimates of breed extinction probabilities. In this study, the extinction probabilities of 5 German dual-purpose cattle breeds were estimated by population viability analysis. Regression was used to estimate the infinitesimal mean and variance of the population growth and this was based on the diffusion approximation of the density independent population growth (also known as the Dennis regression model). The annual number of milk-recorded cows in each breed was used as census data. Based on the regression results, the extinction probabilities and their confidence intervals were estimated for a wide variety of future time horizons using Monte Carlo time series simulations. The estimates of extinction probabilities were sensible, but in 2 cases they depended heavily on the time horizon considered. Additionally, the confidence intervals became very wide with an increased time horizon. We recommend the estimation of extinction probabilities for a set of future time horizons rather than for a single future time and the selection of an upper bound for this set that is not too large to be meaningful. The validity of the use of the number of milk-recorded cows as census data and of the model assumptions is discussed in detail.
机译:在定义的未来时间范围内对一组品种的遗传多样性和边缘多样性的预期损失的估计需要对物种灭绝概率的初步估计。在这项研究中,通过种群生存力分析估算了5个德国两用牛品种的灭绝概率。回归用于估计种群增长的极小均值和方差,这是基于密度独立的种群增长的扩散近似(也称为Dennis回归模型)。每个品种中记录奶牛的年数量用作普查数据。根据回归结果,使用蒙特卡洛时间序列模拟,估计了各种未来时间范围内的灭绝概率及其置信区间。灭绝概率的估计是合理的,但在2种情况下,它们在很大程度上取决于所考虑的时间范围。此外,随着时间跨度的增加,置信区间变得非常宽。我们建议对一组未来时间范围(而不是单个未来时间)的灭绝概率进行估计,并为该组选择一个上限,该上限不会太大而没有意义。详细讨论了使用记录奶牛数量作为普查数据和模型假设的有效性。

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